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Introduction to Tree Depth-First Search

Introduction to Tree Depth-First Search

Let’s go over the Tree Depth-first Search pattern, its real-world applications, and some problems we can solve with it.

About the pattern

A tree is a graph that contains the following properties:

  • It is undirectedA graph with edges that do not have a specific direction assigned to them..

  • It is acyclicA graph without cycles..

  • It is a connected graph where any two vertices are connected by exactly one path.

  • Its nodes can contain values of any data type.

The following key features set trees apart from other data structures, such as arrays or linked lists:

  • They organize data in a hierarchical manner with a root node at the top and child nodes branching out from it.

  • They are nonlinear, which means that the elements in a tree are not arranged sequentially but rather in a branching structure.

  • The time complexity for search and insert operations in trees is typically O(logn)O(\log n), where nn is the number of elements in the tree. In contrast, the time complexity for search and insert operations in arrays and linked lists can be O(n)O(n), where ...

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